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Research article
Guoyue Chen
Triticeae Research Insititute
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7928-9334
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
As one of the most important food crops in the world, increasing wheat (Triticum aestivum L.) yield is an urgent task for global food security under the continuous threat of stripe rust (caused by Puccinia striiformis f. sp. tritici) in many regions of the world. Molecular marker-assisted breeding is one of the most efficient ways to increase yield. Here, we identified loci associated to multi-environmental yield-related traits under stripe rust stress in 244 wheat accessions from Sichuan Province through genome-wide association study (GWAS) using 44059 polymorphic markers from the 55K single nucleotide polymorphism (SNP) chip.
Results
A total of 13 stable quantitative trait loci (QTLs) were found to be highly associating to yield-related traits, including 6 for spike length (SL), 3 for thousand-kernel weight (TKW), 2 for kernel weight per spike (KWPS), and 2 for both TKW and KWPS, in at least two test environments under stripe rust stress conditions. Of them, ten QTLs were overlapped or very close to the reported QTLs, three QTLs, QSL.sicau-1AL, QTKW.sicau-4AL, and QKWPS.sicau-4AL.1, were potentially novel through the physical location comparison with previous QTLs. Further, twenty-one candidate genes within three potentially novel QTLs were identified, they were mainly involved in the regulation of phytohormone, cell division and proliferation, meristem development, plant or organ development, and carbohydrate transport.
Conclusions
QTLs and candidate genes detected in our study for yield-related traits under stripe rust stress will facilitate elucidating genetic basis of yield-related trait and could be used in marker-assisted selection in wheat yield breeding.
Keywords
Wheat, 55K SNP, Genome-wide association study, Yield-related traits, Stripe rust
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Genomics.
No community comments so far
Submission checks complete
On 06 Nov, 2019
Editorial decision: Accept
On 28 Jul, 2019
No comments provided
Editorial decision: Minor revision
On 25 Jul, 2019
No comments provided
Editorial decision: Minor revision
On 23 Jul, 2019
Editor assigned
On 19 Jul, 2019
Submission checks complete
On 18 Jul, 2019
Editor invited
On 18 Jul, 2019
Version 1
Posted 10 Jun, 2019
No comments provided
Editorial decision: Minor revision
On 12 Jul, 2019
Review #3 received
Received 11 Jul, 2019
Reviewer #3 agreed
On 30 Jun, 2019
Review #1 received
Received 23 Jun, 2019
Review #2 received
Received 23 Jun, 2019
Reviewer #1 agreed
On 13 Jun, 2019
Reviewer #2 agreed
On 13 Jun, 2019
Reviewers invited
Invitations sent on 11 Jun, 2019
Submission checks complete
On 07 Jun, 2019
Editor invited
On 07 Jun, 2019
Editor assigned
On 31 May, 2019
First submitted
On 27 May, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Epigenetics & Genomics
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A new preprint design is coming!
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See the published version of this preprint at BMC Genomics.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Guoyue Chen
Triticeae Research Insititute
Corresponding Author
ORCiD: https://orcid.org/0000-0001-7928-9334
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Genomics.
No community comments so far
Submission checks complete
On 06 Nov, 2019
Editorial decision: Accept
On 28 Jul, 2019
No comments provided
Editorial decision: Minor revision
On 25 Jul, 2019
No comments provided
Editorial decision: Minor revision
On 23 Jul, 2019
Editor assigned
On 19 Jul, 2019
Submission checks complete
On 18 Jul, 2019
Editor invited
On 18 Jul, 2019
Version 1
Posted 10 Jun, 2019
No comments provided
Editorial decision: Minor revision
On 12 Jul, 2019
Review #3 received
Received 11 Jul, 2019
Reviewer #3 agreed
On 30 Jun, 2019
Review #1 received
Received 23 Jun, 2019
Review #2 received
Received 23 Jun, 2019
Reviewer #1 agreed
On 13 Jun, 2019
Reviewer #2 agreed
On 13 Jun, 2019
Reviewers invited
Invitations sent on 11 Jun, 2019
Submission checks complete
On 07 Jun, 2019
Editor invited
On 07 Jun, 2019
Editor assigned
On 31 May, 2019
First submitted
On 27 May, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Epigenetics & Genomics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Genomics.
Background
As one of the most important food crops in the world, increasing wheat (Triticum aestivum L.) yield is an urgent task for global food security under the continuous threat of stripe rust (caused by Puccinia striiformis f. sp. tritici) in many regions of the world. Molecular marker-assisted breeding is one of the most efficient ways to increase yield. Here, we identified loci associated to multi-environmental yield-related traits under stripe rust stress in 244 wheat accessions from Sichuan Province through genome-wide association study (GWAS) using 44059 polymorphic markers from the 55K single nucleotide polymorphism (SNP) chip.
Results
A total of 13 stable quantitative trait loci (QTLs) were found to be highly associating to yield-related traits, including 6 for spike length (SL), 3 for thousand-kernel weight (TKW), 2 for kernel weight per spike (KWPS), and 2 for both TKW and KWPS, in at least two test environments under stripe rust stress conditions. Of them, ten QTLs were overlapped or very close to the reported QTLs, three QTLs, QSL.sicau-1AL, QTKW.sicau-4AL, and QKWPS.sicau-4AL.1, were potentially novel through the physical location comparison with previous QTLs. Further, twenty-one candidate genes within three potentially novel QTLs were identified, they were mainly involved in the regulation of phytohormone, cell division and proliferation, meristem development, plant or organ development, and carbohydrate transport.
Conclusions
QTLs and candidate genes detected in our study for yield-related traits under stripe rust stress will facilitate elucidating genetic basis of yield-related trait and could be used in marker-assisted selection in wheat yield breeding.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
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